Author

Victor Chardès

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Flatiron InstituteORCID 0009-0004-4841-6918Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:dimensionality reduction· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Activity by Year

2026-2026 · peak 1/yr

1 paper

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Random Matrix Theory-guided sparse PCA for single-cell RNA-seq data

Victor Chardès

This paper improves PCA for single-cell RNA-seq by using Random Matrix Theory to guide sparse PCA, enhancing reconstruction and classification performance.

bioRxiv · Feb 28, 2026 · PreprintBioinformatics